CN104320607A - Method for monitoring growth of farmland crops based on drone - Google Patents

Method for monitoring growth of farmland crops based on drone Download PDF

Info

Publication number
CN104320607A
CN104320607A CN201410383250.8A CN201410383250A CN104320607A CN 104320607 A CN104320607 A CN 104320607A CN 201410383250 A CN201410383250 A CN 201410383250A CN 104320607 A CN104320607 A CN 104320607A
Authority
CN
China
Prior art keywords
unmanned plane
farmland
point
flight
shooting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410383250.8A
Other languages
Chinese (zh)
Inventor
李亮
吴梦
沙敏
赵雪凤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jiangsu Heng Chuan Softcom Ltd
Original Assignee
Jiangsu Heng Chuan Softcom Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jiangsu Heng Chuan Softcom Ltd filed Critical Jiangsu Heng Chuan Softcom Ltd
Priority to CN201410383250.8A priority Critical patent/CN104320607A/en
Publication of CN104320607A publication Critical patent/CN104320607A/en
Pending legal-status Critical Current

Links

Landscapes

  • Image Processing (AREA)

Abstract

The present invention discloses a method for monitoring growth of farmland crops based on a drone. The method for monitoring the growth of the farmland crops mainly completes the operation of monitoring the growth of the crops through orientation cruise of the drone and fixed point shooting of the imaging device carried by the drone. The present invention saves a large amount of costs for recruiting and using the work force and time through combining the drone remote sensing system with the modern agricultural detecting techniques without observing growth conditions of the crops in the farmland by the farmer regarding large scale integration farmlands in the modern agriculture. Meanwhile, it can be convenient to check and compare the image data recorded by the computer at any time, thereby more accurately analyzing actual growth conditions of the crops in the farmland, and facilitating unified planning and management on the farmland.

Description

Based on the method that the monitoring field-crop of unmanned plane grows
Technical field
The present invention relates to production and the detection field of automation agricultural, particularly relate to a kind of method that monitoring field-crop based on unmanned plane grows.
Background technology
The formation of modern machines system and farming machine extensive use, agricultural is produced by manual animal-drawn farm implements and changes production of machinery into, tractor as excellent in technical and economic performance, cultivator, united reaper, agricultural automobile, agricultural aircraft and woods, herd, various machines in fishery, become the main tool of production of agricultural, the energy of input agricultural is significantly increased, and electronics, atomic energy, laser, remote sensing technology and artificial satellite etc. also start to apply to agricultural.
Experiment of UAV remote sensing system many uses Miniature digital camera (or scanner) is as airborne sensory equipment, compared with traditional boat sheet, there is the problems such as film size is less, image quantity is many, for the attitude data when feature of its remote sensing image and camera Calibration parameter, shooting (or scanning) with about geometrical model, geometry and radiant correction are carried out to image, also have image automatically identify and splice software fast simultaneously, realize the quality of image, the quick inspection of flight reappearance and the fast processing of data, with meet whole system in real time, technical requirement fast.
In the production of traditional agriculture, in farmland, the upgrowth situation of crop carries out Real Time Observation under needing peasant in farmland, obtain the growth conditions of crops reality, but for peasant when observing, only can observe the upgrowth situation of the crops of farmland week side, upgrowth situation for the crop in the middle part of farmland cannot be observed, mainly because crops fill up whole farmland, peasant cannot enter in farmland smoothly and observe, simultaneously along with the popularization of large scale integration modern agriculture, the extensive farmland of formula of contracting is promoted, the manpower and materials that the granting adopting traditional peasant to go to the field observation needs waste a large amount of, complex operation, be inconvenient to record and unified management.
Summary of the invention
For above-mentioned Problems existing, the monitoring farmland of the extruding unmanned plane the invention provides and be a kind ofly applicable to large scale integration farmland, facilitating unified management and control is as the method for growth.
In order to achieve the above object, the technical solution used in the present invention is as follows: a kind of method that monitoring field-crop based on unmanned plane grows, the fixed point shooting of the imaging device that method is mainly cruised by the orientation of unmanned plane and unmanned plane carries of described monitoring field-crop growth, being data analysis to complete the work of the growth of monitoring crops by computer software by collecting, comprising following step:
1) by the real area in manual detection farmland, passed through computer project, formulated the pre-flight path that the orientation of unmanned plane cruises;
2) according to the pre-flight path that computer is formulated, be communicated with unmanned plane and take a flight test, take a flight test in process, UAV flight's imaging device, the farmland situation in the flight range of omnidistance shooting unmanned plane;
3) according to the video recording produced in process of taking a flight test, taken photo by plane by unmanned plane multiple images of obtaining or picture import in three-dimensional artificial software, carry out manpower comparing to and software screening method, determine the unmanned plane hovering shooting point in practical flight process and shooting time;
4) according to the video recording taken in pre-flight course and the unmanned plane determined hovering shooting point, by computer project and the actual flight route formulating unmanned plane;
5) unmanned plane flies along actual flight route, and after arriving the shooting point formulated, unmanned plane hovering flight, carries out fixed point shooting by airborne imaging equipment.
6) by the view data entry information process computer that step 5) obtains, the upgrowth situation of crops after carrying out modeling and united analysis, is obtained.
The present invention is in practical flight process, the positional information that the positioning equipment that unmanned plane carries obtains unmanned plane current passes to data handling machine, the position of the point of this information and setting compares by data handling machine, if unmanned plane position predetermined detection point longitude and latitude ± 1m within the scope of, then unmanned plane hovering is carried out 360 ° to this point to surrounding environment and is taken pictures.
GPS navigation system selected by positioning equipment of the present invention.The general principle of GPS navigation system is the distance between the satellite of measuring known location to receiver user, and then the data of comprehensive multi-satellite just can know the particular location of receiver; Select the object of this technology to be the precise positioning facilitating unmanned plane and farmland, facilitate microcomputer modelling and unified planning, location is accurate, facilitates unified standardization to manage.
Choosing of the middle unmanned plane hovering shooting point of step of the present invention (3), the farmland according to plantation Different Crop different in monitoring range is determined, is provided with a hovering shooting point in every block farmland;
The hovering shooting point in monolithic farmland of the present invention is determined according to the shape in farmland, and the hovering shooting point in the farmland of class rectangle to be arranged in farmland on the intersection point of two most long-diagonals, and the hovering shooting in the farmland of similar round is arranged on the center of circle, farmland.
Unmanned plane of the present invention carries out 360 ° in hover point to surrounding environment and takes pictures, and a single point takes 4 photos, and shooting angle is with " due east ", " due south " of the sensing of compass, " just west ", " just north " four direction; Be owing to bearing the illumination of Different periods on a direction, its crop is that the temperature and humidity factor of growth is also different, and conveniently can be observed the upgrowth situation of crop in whole farmland by four photos, observation and analysis is comprehensive.
Unmanned aerial vehicle onboard imaging device of the present invention is arranged on external fuselage, pixel >=1,800 ten thousand of camera installation, and it has optical anti-vibration device.
Unmanned aerial vehicle onboard imaging device of the present invention is movably arranged on bottom unmanned plane, and the vertical anglec of rotation of described unmanned aerial vehicle onboard imaging device is-90 ° ~ 20 °; According to the practical production status of crops, regulate the angle of imaging device on unmanned plane, the convenient shooting angle finding the best, improves the observing effect of overall crop.
The invention has the advantages that: the present invention is by combining the detection technique of experiment of UAV remote sensing system and modern agriculture, for the large scale integration farmland of modern agriculture, carry out going to the field without the need to peasant and observe crop growth situation, save a large amount of recruitment costs and time, simultaneously through the image data of computer recording, conveniently check at any time and front and back contrast, analyze the actual upgrowth situation of crop in farmland more accurately, conveniently unified planning and management are carried out to farmland.
Accompanying drawing explanation
Fig. 1 is that unmanned plane during flying of the present invention presets figure.
Wherein, zero is the hovering shooting point of physical planning; be denoted as the flight path of unmanned plane planning.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail.
embodiment 1:the method that a kind of monitoring field-crop based on unmanned plane as shown in Figure 1 grows:
1) by the real area in manual detection farmland, passed through computer project, formulated the pre-flight path that the orientation of unmanned plane cruises;
2) according to the pre-flight path that computer is formulated, be communicated with unmanned plane and take a flight test, take a flight test in process, UAV flight's imaging device, the farmland situation in the flight range of omnidistance shooting unmanned plane;
3) according to the video recording produced in process of taking a flight test, taken photo by plane by unmanned plane multiple images of obtaining or picture import in three-dimensional artificial software, carry out manpower comparing to and software screening method, determine the unmanned plane hovering shooting point in practical flight process and shooting time;
4) according to the video recording taken in pre-flight course and the unmanned plane determined hovering shooting point, by computer project and the actual flight route formulating unmanned plane;
Unmanned plane hovering the choosing of shooting point in the present invention, the farmland according to plantation Different Crop different in monitoring range is determined, is provided with a hovering shooting point (in figure mono-shown in zero) in every block farmland; The hovering shooting point stating monolithic farmland is determined according to the shape in farmland, on the intersection point that the hovering shooting point in the farmland of class rectangle to be arranged in farmland two most long-diagonals (ginseng is made shown in Fig. 1).
5) unmanned plane flies along actual flight route, after arriving the shooting point formulated, the positional information that the positioning equipment that unmanned plane carries obtains unmanned plane current passes to data handling machine, the position of the point of this information and setting compares by data handling machine, if unmanned plane position predetermined detection point longitude and latitude ± 1m within the scope of, then unmanned plane hovering is carried out 360 ° to this point to surrounding environment and is taken pictures, and carries out fixed point take by airborne imaging equipment.
Unmanned plane of the present invention carries out 360 ° in hover point to surrounding environment and takes pictures, and a single point takes 4 photos, and shooting angle is with " due east ", " due south " of the sensing of compass, " just west ", " just north " four direction; Be owing to bearing the illumination of Different periods on a direction, its crop is that the temperature and humidity factor of growth is also different, and conveniently can be observed the upgrowth situation of crop in whole farmland by four photos, observation and analysis is comprehensive.
6) by the view data entry information process computer that step 5) obtains, the upgrowth situation of crops after carrying out modeling and united analysis, is obtained.
embodiment 2:as shown in Figure 1, in physical record process, the picture recorded of single flight is depicted as form, (example form is as follows)
The growth conditions drawing each farmland implants in large scale integration farmland can be clearly analyzed by above table, convenient checking at any time contrasts with front and back, analyze the actual upgrowth situation of crop in farmland more accurately, conveniently unified planning and management are carried out to farmland, provide theoretical foundation to the growth of next year or next batch crops; Substantially increase the production efficiency of modern agriculture.
It should be noted that, above-mentioned is only preferred embodiment of the present invention, is not used for limiting protection scope of the present invention, and equivalents done on the basis of above-described embodiment all belongs to protection scope of the present invention.

Claims (8)

1. the method that grows of the monitoring field-crop based on unmanned plane, it is characterized in that, the fixed point shooting of the imaging device that method is mainly cruised by the orientation of unmanned plane and unmanned plane carries of described monitoring field-crop growth, being data analysis to complete the work of the growth of monitoring crops by computer software by collecting, comprising following step:
1) by the real area in manual detection farmland, passed through computer project, formulated the pre-flight path that the orientation of unmanned plane cruises;
2) according to the pre-flight path that computer is formulated, be communicated with unmanned plane and take a flight test, take a flight test in process, UAV flight's imaging device, the farmland situation in the flight range of omnidistance shooting unmanned plane;
3) according to the video recording produced in process of taking a flight test, taken photo by plane by unmanned plane multiple images of obtaining or picture import in three-dimensional artificial software, carry out manpower comparing to and software screening method, determine the unmanned plane hovering shooting point in practical flight process and shooting time;
4) according to the video recording taken in pre-flight course and the unmanned plane determined hovering shooting point, by computer project and the actual flight route formulating unmanned plane;
5) unmanned plane flies along actual flight route, and after arriving the shooting point formulated, unmanned plane hovering flight, carries out fixed point shooting by airborne imaging equipment;
6) by the view data entry information process computer that step 5) obtains, the upgrowth situation of crops after carrying out modeling and united analysis, is obtained.
2. the method that grows of the monitoring field-crop based on unmanned plane according to claim 1, it is characterized in that, in described practical flight process, the positional information that the positioning equipment that unmanned plane carries obtains unmanned plane current passes to data handling machine, the position of the point of this information and setting compares by data handling machine, if unmanned plane position predetermined detection point longitude and latitude ± 1m within the scope of, then unmanned plane hovering is carried out 360 ° to this point to surrounding environment and is taken pictures.
3. the method that grows of the monitoring field-crop based on unmanned plane according to claim 1, it is characterized in that, GPS navigation system selected by described positioning equipment.
4. the method that grows of the monitoring field-crop based on unmanned plane according to claim 1, it is characterized in that, choosing of the middle unmanned plane hovering shooting point of described step (3), the farmland according to plantation Different Crop different in monitoring range is determined, is provided with a hovering shooting point in every block farmland.
5. the method that grows of the monitoring field-crop based on unmanned plane according to claim 4, it is characterized in that, the hovering shooting point in described monolithic farmland is determined according to the shape in farmland, the hovering shooting point in the farmland of class rectangle to be arranged in farmland on the intersection point of two most long-diagonals, and the hovering shooting in the farmland of similar round is arranged on the center of circle, farmland.
6. the method that grows of the monitoring field-crop based on unmanned plane according to claim 2, it is characterized in that, described unmanned plane carries out 360 ° in hover point to surrounding environment and takes pictures, a single point takes 4 photos, and shooting angle is with " due east ", " due south " of the sensing of compass, " just west ", " just north " four direction.
7. the method that grows of the monitoring field-crop based on unmanned plane according to claim 1, it is characterized in that, described unmanned aerial vehicle onboard imaging device is arranged on external fuselage, pixel >=1,800 ten thousand of camera installation, and it has optical anti-vibration device.
8. the method that grows of the monitoring field-crop based on unmanned plane according to claim 7, it is characterized in that, described unmanned aerial vehicle onboard imaging device is movably arranged on bottom unmanned plane, and the vertical anglec of rotation of described unmanned aerial vehicle onboard imaging device is-90 ° ~ 10 °.
CN201410383250.8A 2014-08-06 2014-08-06 Method for monitoring growth of farmland crops based on drone Pending CN104320607A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410383250.8A CN104320607A (en) 2014-08-06 2014-08-06 Method for monitoring growth of farmland crops based on drone

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410383250.8A CN104320607A (en) 2014-08-06 2014-08-06 Method for monitoring growth of farmland crops based on drone

Publications (1)

Publication Number Publication Date
CN104320607A true CN104320607A (en) 2015-01-28

Family

ID=52375770

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410383250.8A Pending CN104320607A (en) 2014-08-06 2014-08-06 Method for monitoring growth of farmland crops based on drone

Country Status (1)

Country Link
CN (1) CN104320607A (en)

Cited By (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105222770A (en) * 2015-08-31 2016-01-06 中国烟草总公司广东省公司 A kind of vega unmanned plane Autonomous Navigation Algorithm based on border
CN105258735A (en) * 2015-11-12 2016-01-20 杨珊珊 Environmental data detection method and device based on unmanned aerial vehicle
CN105501442A (en) * 2015-12-16 2016-04-20 无锡同春新能源科技有限公司 Unmanned forage harvester
CN105574482A (en) * 2015-08-31 2016-05-11 中国烟草总公司广东省公司 Field tobacco growth status monitoring method
CN105812739A (en) * 2016-03-23 2016-07-27 中国农业大学 System and method for automatically collecting plant growth information
CN105956700A (en) * 2016-04-29 2016-09-21 温崇维 Flight path optimization method of air vehicle
CN106568725A (en) * 2016-11-02 2017-04-19 浙江水利水电学院 Monitoring method of atmospheric environment in construction section of river bank revetment
CN106585992A (en) * 2016-12-15 2017-04-26 上海土是宝农业科技有限公司 Method and system for intelligent identification and accurate pesticide spraying using unmanned aerial vehicles
CN106708070A (en) * 2015-08-17 2017-05-24 深圳市道通智能航空技术有限公司 Aerial photographing control method and apparatus
CN106791597A (en) * 2016-11-11 2017-05-31 韦红兰 A kind of unmanned plane that crop can be monitored
CN106791596A (en) * 2016-11-11 2017-05-31 韦红兰 A kind of method that utilization unmanned plane is monitored to crop
WO2017120792A1 (en) * 2016-01-13 2017-07-20 张阳 Sports venue monitoring method and system
US9756773B1 (en) 2016-02-26 2017-09-12 International Business Machines Corporation System and method for application of materials through coordination with automated data collection vehicles
CN107238574A (en) * 2017-06-07 2017-10-10 江苏大学 The detection of plant growing way and the diagnostic method of fertilising are targetted towards cotton
GB2553631A (en) * 2017-06-19 2018-03-14 Earlham Inst Data Processing of images of a crop
CN107873492A (en) * 2017-12-11 2018-04-06 河海大学文天学院 A kind of unmanned plane farmland control irrigation system and its method of work
CN107992838A (en) * 2017-12-12 2018-05-04 融水苗族自治县大浪镇人民政府 A kind of unmanned plane Cultivate administration monitoring system
CN108664544A (en) * 2017-03-28 2018-10-16 井关农机株式会社 Agricultural operation supports system
CN108881825A (en) * 2018-06-14 2018-11-23 华南农业大学 Rice weed monitoring unmanned system and its monitoring method based on Jetson TK1
CN109947127A (en) * 2019-03-12 2019-06-28 深圳市道通智能航空技术有限公司 A kind of monitoring unmanned method, apparatus, equipment and storage medium
CN110050672A (en) * 2019-03-22 2019-07-26 宁波工程学院 A kind of scale precision irrigation method
CN110418572A (en) * 2017-03-12 2019-11-05 株式会社尼罗沃克 Crop unmanned plane for shooting
CN110579774A (en) * 2019-07-30 2019-12-17 浙江农林大学 unmanned aerial vehicle forestry resource investigation method
CN110940320A (en) * 2019-07-19 2020-03-31 华北电力大学(保定) Open stock ground monitored control system based on unmanned aerial vehicle cruises
CN113075359A (en) * 2021-03-18 2021-07-06 塔里木大学 Walnut growth prediction system based on satellite and unmanned aerial vehicle remote sensing combination
CN114063639A (en) * 2021-10-16 2022-02-18 长沙乐源土地规划设计有限责任公司 Unmanned aerial vehicle remote sensing information acquisition method and device
CN116156329A (en) * 2023-02-21 2023-05-23 中国铁塔股份有限公司黑龙江省分公司 Image analysis-based black land degradation rapid monitoring method, storage medium and device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101008676A (en) * 2006-01-16 2007-08-01 北京林业大学 Method for measuring forest by unmanned aerial vehicle aerial photography remote sensing
CN101154295A (en) * 2006-09-28 2008-04-02 长江航道规划设计研究院 Three-dimensional simulation electronic chart of navigation channel
CN201637409U (en) * 2010-03-11 2010-11-17 陈向宁 Digital aviation panoramic measuring camera platform
CN203350719U (en) * 2013-07-03 2013-12-18 广州地理研究所 Multispectral remote sensing system of single rotor micro unmanned plane

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101008676A (en) * 2006-01-16 2007-08-01 北京林业大学 Method for measuring forest by unmanned aerial vehicle aerial photography remote sensing
CN101154295A (en) * 2006-09-28 2008-04-02 长江航道规划设计研究院 Three-dimensional simulation electronic chart of navigation channel
CN201637409U (en) * 2010-03-11 2010-11-17 陈向宁 Digital aviation panoramic measuring camera platform
CN203350719U (en) * 2013-07-03 2013-12-18 广州地理研究所 Multispectral remote sensing system of single rotor micro unmanned plane

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于无人机遥感影像的三维森林景观可视化;彭培胜;《东北农业大学学报》;20130630;第62页-65页 *

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106708070A (en) * 2015-08-17 2017-05-24 深圳市道通智能航空技术有限公司 Aerial photographing control method and apparatus
CN105574482A (en) * 2015-08-31 2016-05-11 中国烟草总公司广东省公司 Field tobacco growth status monitoring method
CN105222770A (en) * 2015-08-31 2016-01-06 中国烟草总公司广东省公司 A kind of vega unmanned plane Autonomous Navigation Algorithm based on border
CN105258735A (en) * 2015-11-12 2016-01-20 杨珊珊 Environmental data detection method and device based on unmanned aerial vehicle
CN105501442A (en) * 2015-12-16 2016-04-20 无锡同春新能源科技有限公司 Unmanned forage harvester
WO2017120792A1 (en) * 2016-01-13 2017-07-20 张阳 Sports venue monitoring method and system
US9756773B1 (en) 2016-02-26 2017-09-12 International Business Machines Corporation System and method for application of materials through coordination with automated data collection vehicles
CN105812739A (en) * 2016-03-23 2016-07-27 中国农业大学 System and method for automatically collecting plant growth information
CN105812739B (en) * 2016-03-23 2019-07-30 中国农业大学 A kind of system and method for automatic collection plant growth information
CN105956700A (en) * 2016-04-29 2016-09-21 温崇维 Flight path optimization method of air vehicle
CN106568725A (en) * 2016-11-02 2017-04-19 浙江水利水电学院 Monitoring method of atmospheric environment in construction section of river bank revetment
CN106791596A (en) * 2016-11-11 2017-05-31 韦红兰 A kind of method that utilization unmanned plane is monitored to crop
CN106791597A (en) * 2016-11-11 2017-05-31 韦红兰 A kind of unmanned plane that crop can be monitored
CN106585992A (en) * 2016-12-15 2017-04-26 上海土是宝农业科技有限公司 Method and system for intelligent identification and accurate pesticide spraying using unmanned aerial vehicles
CN110418572A (en) * 2017-03-12 2019-11-05 株式会社尼罗沃克 Crop unmanned plane for shooting
CN108664544A (en) * 2017-03-28 2018-10-16 井关农机株式会社 Agricultural operation supports system
CN107238574A (en) * 2017-06-07 2017-10-10 江苏大学 The detection of plant growing way and the diagnostic method of fertilising are targetted towards cotton
GB2553631A (en) * 2017-06-19 2018-03-14 Earlham Inst Data Processing of images of a crop
GB2553631B (en) * 2017-06-19 2019-10-30 Earlham Inst Data Processing of images of a crop
CN107873492A (en) * 2017-12-11 2018-04-06 河海大学文天学院 A kind of unmanned plane farmland control irrigation system and its method of work
CN107992838A (en) * 2017-12-12 2018-05-04 融水苗族自治县大浪镇人民政府 A kind of unmanned plane Cultivate administration monitoring system
CN108881825A (en) * 2018-06-14 2018-11-23 华南农业大学 Rice weed monitoring unmanned system and its monitoring method based on Jetson TK1
CN109947127A (en) * 2019-03-12 2019-06-28 深圳市道通智能航空技术有限公司 A kind of monitoring unmanned method, apparatus, equipment and storage medium
CN110050672A (en) * 2019-03-22 2019-07-26 宁波工程学院 A kind of scale precision irrigation method
CN110940320A (en) * 2019-07-19 2020-03-31 华北电力大学(保定) Open stock ground monitored control system based on unmanned aerial vehicle cruises
CN110579774A (en) * 2019-07-30 2019-12-17 浙江农林大学 unmanned aerial vehicle forestry resource investigation method
CN110579774B (en) * 2019-07-30 2021-07-20 浙江农林大学 Unmanned aerial vehicle forestry resource investigation method
CN113075359A (en) * 2021-03-18 2021-07-06 塔里木大学 Walnut growth prediction system based on satellite and unmanned aerial vehicle remote sensing combination
CN114063639A (en) * 2021-10-16 2022-02-18 长沙乐源土地规划设计有限责任公司 Unmanned aerial vehicle remote sensing information acquisition method and device
CN114063639B (en) * 2021-10-16 2023-08-08 长沙乐源土地规划设计有限责任公司 Unmanned aerial vehicle remote sensing information acquisition method and device
CN116156329A (en) * 2023-02-21 2023-05-23 中国铁塔股份有限公司黑龙江省分公司 Image analysis-based black land degradation rapid monitoring method, storage medium and device
CN116156329B (en) * 2023-02-21 2023-07-07 中国铁塔股份有限公司黑龙江省分公司 Image analysis-based black land degradation rapid monitoring method, storage medium and device

Similar Documents

Publication Publication Date Title
CN104320607A (en) Method for monitoring growth of farmland crops based on drone
Christiansen et al. Designing and testing a UAV mapping system for agricultural field surveying
Küng et al. The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery
Matese et al. Assessment of a canopy height model (CHM) in a vineyard using UAV-based multispectral imaging
Urbahs et al. Features of the use of unmanned aerial vehicles for agriculture applications
AU2015305406B2 (en) Methods for agronomic and agricultural monitoring using unmanned aerial systems
Khanna et al. Beyond point clouds-3d mapping and field parameter measurements using uavs
CN104298245A (en) Method for monitoring growing state of forest trees based on unmanned aerial vehicle
US20140263822A1 (en) Vertical take off and landing autonomous/semiautonomous/remote controlled aerial agricultural sensor platform
WO2017099570A1 (en) System and method for precision agriculture by means of multispectral and hyperspectral aerial image analysis using unmanned aerial vehicles
Madawalagama et al. Low cost aerial mapping with consumer-grade drones
CN104118561B (en) Method for monitoring large endangered wild animals based on unmanned aerial vehicle technology
CN108007437B (en) Method for measuring farmland boundary and internal obstacles based on multi-rotor aircraft
US20240166349A1 (en) Methods and Systems for Cloud-Based Management of Images Captured by Aerial Vehicles
Flores et al. Multispectral imaging of crops in the Peruvian Highlands through a fixed-wing UAV system
Jensen et al. Low-cost multispectral aerial imaging using autonomous runway-free small flying wing vehicles
Ali et al. The impact of UAV flight planning parameters on topographic mapping quality control
CN102706331B (en) Correction method for aerial surveying and mapping images
Selsam et al. Acquisition and automated rectification of high-resolution RGB and near-IR aerial photographs to estimate plant biomass and surface topography in arid agro-ecosystems
Saifizi et al. UAV based image acquisition data for 3D model application
CN105574482A (en) Field tobacco growth status monitoring method
MacArthur et al. Remotely-piloted mini-helicopter imaging of citrus
Nasir et al. Use of Greendrone UAS system for maize crop monitoring
Thomasson et al. Small UAS in agricultural remote-sensing research at Texas A&M
Dobers Unmanned Aerial Vehicles and Geographic Information Systems for Monitoring Cropping Systems

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20150128